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Improving Robustness of Deep Reinforcement Learning Agents: Environment
  Attack based on the Critic Network

Improving Robustness of Deep Reinforcement Learning Agents: Environment Attack based on the Critic Network

7 April 2021
L. Schott
H. Hajri
Sylvain Lamprier
    AAML
ArXivPDFHTML

Papers citing "Improving Robustness of Deep Reinforcement Learning Agents: Environment Attack based on the Critic Network"

2 / 2 papers shown
Title
Adversarial Safety-Critical Scenario Generation using Naturalistic Human
  Driving Priors
Adversarial Safety-Critical Scenario Generation using Naturalistic Human Driving Priors
Kunkun Hao
Yonggang Luo
Wen Cui
Yuqiao Bai
Jucheng Yang
Songyang Yan
Yuxi Pan
Zijiang Yang
AAML
33
17
0
06 Aug 2024
Where2Start: Leveraging initial States for Robust and Sample-Efficient
  Reinforcement Learning
Where2Start: Leveraging initial States for Robust and Sample-Efficient Reinforcement Learning
Pouya Parsa
Raoof Zare Moayedi
Mohammad Bornosi
Mohammad Mahdi Bejani
24
0
0
25 Nov 2023
1